updated docs;

Author: naman-msft

scenarios/DeployCassandraOnAKS/deploy-cassandra-on-aks.md

@@ -17,7 +17,6 @@ In this tutorial, you'll deploy an open-source Apache Cassandra cluster on Azure
 1. Install Azure CLI. You can follow [Install the Azure CLI](https://docs.microsoft.com/cli/azure/install-azure-cli) for instructions.
 2. Install `kubectl`. You can use the `az aks install-cli` command to install it if you are using Azure Cloud Shell.
 
----
 
 ## Step 1: Create an AKS Cluster
 
@@ -64,8 +63,6 @@ az aks create \
   --generate-ssh-keys
 ```
 
----
-
 ## Step 2: Connect to the AKS Cluster
 
 Retrieve the AKS cluster credentials and configure `kubectl`.
@@ -93,8 +90,6 @@ aks-nodepool1-xxxxx-vmss000001      Ready    agent   3m52s   v1.26.0
 aks-nodepool1-xxxxx-vmss000002      Ready    agent   3m48s   v1.26.0
 ```
 
----
-
 ## Step 3: Deploy the Cassandra Cluster
 
 Create a Kubernetes manifest file in Cloud Shell to define the Cassandra deployment. Use a name like `cassandra-deployment.yaml`.
@@ -141,8 +136,6 @@ Results:
 statefulset.apps/cassandra created
 ```
 
----
-
 ## Step 4: Create a Headless Service for Cassandra
 
 Create a Kubernetes manifest file in Cloud Shell to define the Cassandra headless service. Use a name like `cassandra-service.yaml`.
@@ -168,7 +161,6 @@ EOF
 kubectl apply -f cassandra-service.yaml
 ```
 
-
 ## Step 4: Verify Cassandra Deployment
 
 Check the status of the Cassandra pods to ensure deployment is successful.
@@ -219,8 +211,6 @@ NAME         READY   AGE
 cassandra    3/3     3m
 ```
 
----
-
 ## Step 5: Access Cassandra Cluster
 
 Create a temporary Pod to access the Cassandra cluster using `cqlsh`, the Cassandra query tool.
@@ -250,8 +240,6 @@ Connected to Test Cluster at cassandra-0.cassandra:9042.
 Use HELP for help.
 ```
 
----
-
 This tutorial deployed an Apache Cassandra cluster on AKS. You managed the cluster using Kubernetes manifests and verified its deployment.
 
 > **IMPORTANT:** Do not forget to clean up unnecessary resources like the AKS cluster if you no longer need them.

scenarios/DeployClickhouseOnAKS/deploy-clickhouse-on-aks.md

@@ -21,8 +21,6 @@ Ensure that you have the following:
 3. Access to `kubectl` CLI to manage your Kubernetes cluster.
 4. Azure CLI extensions enabled for AKS (`az extension add --name aks`).
 
----
-
 ## Step 1: Create a Resource Group
 
 Create a new Azure resource group to contain all resources related to the deployment.
@@ -52,8 +50,6 @@ Results:
 }
 ```
 
----
-
 ## Step 2: Create an AKS Cluster
 
 Create an Azure Kubernetes Service (AKS) cluster in the resource group.
@@ -63,8 +59,6 @@ export MY_AKS_CLUSTER="MyAKSCluster$RANDOM_SUFFIX"
 az aks create --resource-group $MY_RESOURCE_GROUP --name $MY_AKS_CLUSTER --node-count 3 --generate-ssh-keys
 ```
 
----
-
 ## Step 3: Connect to the AKS Cluster
 
 Obtain the Kubernetes credentials to connect to your AKS cluster.
@@ -81,8 +75,6 @@ Results:
 Merged "MyAKSClusterxxx" as current context in /home/user/.kube/config
 ```
 
----
-
 ## Step 4: Create a Namespace for ClickHouse
 
 Create a Kubernetes namespace to host the ClickHouse deployment.
@@ -99,8 +91,6 @@ Results:
 namespace/clickhouse created
 ```
 
----
-
 ## Step 5: Deploy ClickHouse on AKS
 
 Use the following Kubernetes manifest to deploy ClickHouse. Save this manifest into a file named **clickhouse-deployment.yaml**.
@@ -167,8 +157,6 @@ statefulset.apps/clickhouse created
 persistentvolumeclaim/clickhouse-pvc created
 ```
 
----
-
 ## Step 6: Verify the Deployment
 
 Check if the ClickHouse pods are running correctly:
@@ -204,8 +192,6 @@ clickhouse-1        1/1     Running   0          2m
 clickhouse-2        1/1     Running   0          2m
 ```
 
----
-
 ## Summary
 
 You have successfully deployed a ClickHouse cluster on AKS. You can now connect to the ClickHouse service using the appropriate service endpoint or Kubernetes port forwarding.

scenarios/DeployTensorflowOnAKS/deploy-tensorflow-on-aks.md

@@ -12,7 +12,6 @@ ms.custom: devx-track-azurecli, mode-api, innovation-engine, machine-learning, k
 
 This guide demonstrates how to deploy a Tensorflow cluster on AKS using the Azure CLI. The setup includes provisioning an AKS cluster, configuring a Kubernetes namespace, and deploying a TensorFlow cluster.
 
----
 
 ## Prerequisites
 
@@ -22,7 +21,6 @@ This guide demonstrates how to deploy a Tensorflow cluster on AKS using the Azur
 
 > **Note:** Please make sure you are logged into Azure and have set your subscription in advance.
 
----
 
 ## Step 1: Create a Resource Group
 
@@ -53,8 +51,6 @@ Results:
 }
 ```
 
----
-
 ## Step 2: Create an AKS Cluster
 
 Provision an AKS cluster in the resource group.
@@ -64,7 +60,6 @@ export AKS_CLUSTER_NAME="AKS-TF-Cluster-$RANDOM_SUFFIX"
 az aks create --name $AKS_CLUSTER_NAME --resource-group $RESOURCE_GROUP_NAME --node-count 3 --enable-addons monitoring --generate-ssh-keys
 ```
 
----
 
 ## Step 3: Connect to the AKS Cluster
 
@@ -74,16 +69,6 @@ Obtain the cluster credentials and configure `kubectl` to use the newly created
 az aks get-credentials --name $AKS_CLUSTER_NAME --resource-group $RESOURCE_GROUP_NAME
 ```
 
-Results:
-
-<!-- expected_similarity=0.3 -->
-
-```text
-Merged "AKS-TF-Cluster-xxx" as current context in /home/username/.kube/config
-```
-
----
-
 ## Step 4: Create a Kubernetes Namespace for TensorFlow
 
 Create a namespace to organize resources related to TensorFlow.
@@ -101,8 +86,6 @@ Results:
 namespace/tensorflow-cluster created
 ```
 
----
-
 ## Step 5: Prepare TensorFlow Deployment Configuration
 
 Create the TensorFlow deployment configuration file.
@@ -132,8 +115,6 @@ spec:
 EOF
 ```
 
----
-
 ## Step 6: Deploy the TensorFlow Cluster
 
 Deploy the TensorFlow cluster by applying the configuration file.
@@ -150,8 +131,6 @@ Results:
 deployment.apps/tensorflow-deployment created
 ```
 
----
-
 ## Step 7: Create a LoadBalancer Service for TensorFlow
 
 Expose the TensorFlow deployment using a LoadBalancer service to make it accessible externally.
@@ -184,8 +163,6 @@ Results:
 service/tensorflow-service created
 ```
 
----
-
 ## Step 8: Check Service External IP
 
 Retrieve the external IP address of the TensorFlow service.

scenarios/DeployTrinoOnAKS/deploy-trino-on-aks.md

@@ -17,7 +17,6 @@ In this Exec Doc, you will learn how to deploy a Trino (formerly PrestoSQL) clus
 1. Ensure you have Azure CLI installed in your environment or use [Azure Cloud Shell](https://shell.azure.com/).  
 2. Ensure a Kubernetes cluster is already deployed on AKS. You can create one using [this guide](https://learn.microsoft.com/azure/aks/).
 
----
 
 ## Step 2: Create Azure Resource Group
 
@@ -49,8 +48,6 @@ Results:
 }
 ```
 
----
-
 ## Step 3: Create AKS Cluster
 
 We will deploy an AKS cluster to host the Trino cluster.
@@ -66,8 +63,6 @@ az aks create \
     --generate-ssh-keys
 ```
 
----
-
 ## Step 4: Configure `kubectl` Access
 
 We will configure `kubectl` to connect to the newly created AKS cluster.
@@ -76,16 +71,6 @@ We will configure `kubectl` to connect to the newly created AKS cluster.
 az aks get-credentials --resource-group $RESOURCE_GROUP_NAME --name $AKS_CLUSTER_NAME
 ```
 
-Results:
-
-<!-- expected_similarity=0.3 -->
-
-```text
-Merged "TrinoAKSClusterxxx" as the current context in /home/.kube/config
-```
-
----
-
 ## Step 5: Create Namespace for Trino
 
 Namespaces help organize your Kubernetes resources.
@@ -112,8 +97,6 @@ Results:
 }
 ```
 
----
-
 ## Step 6: Deploy Trino on AKS
 
 We will use a Kubernetes manifest to deploy the Trino cluster.
@@ -159,8 +142,6 @@ Results:
 deployment.apps/trino created
 ```
 
----
-
 ## Step 7: Expose Trino Service
 
 Expose the Trino deployment via a Kubernetes service for external access.
@@ -182,7 +163,6 @@ Results:
 service/trino-service exposed
 ```
 
----
 
 ## Step 8: Verify Deployment
 
@@ -218,8 +198,6 @@ trino-xxxxx-xxxxx        1/1     Running   0          5m
 trino-xxxxx-xxxxx        1/1     Running   0          5m
 ```
 
----
-
 ## Step 9: Fetch Service Public IP
 
 Retrieve the external IP address of the Trino service.
@@ -239,6 +217,5 @@ External IP: xx.xx.xx.xx
 
 The `EXTERNAL-IP` field contains the Trino service's public IP. Visit `http://<EXTERNAL-IP>:8080` to access the Trino cluster.
 
----
 
 You have successfully deployed a Trino cluster on Azure Kubernetes Service! 🎉